信号处理2025，Vol.41Issue(12)：1917-1925,9.DOI:10.12466/xhcl.2025.12.005
基于UW帧结构的无人机地空数传信道均衡设计
Channel Equalization Design for UAV Ground-to-Air Data Transmission Based on Unique Word Frame Structure
摘要
Abstract
This paper analyzes the advantages and disadvantages of existing equalization algorithms for single-carrier fre-quency domain equalization(SC-FDE)systems and proposes a channel equalization algorithm for UAV ground-to-air data transmission based on a unique word(UW)frame structure.The algorithm features a zero padding(ZP)based data frame structure with Golay complementary pair(GCP)sequences as UW training sequences.A time-domain autocorrela-tion channel estimation method is employed to obtain channel state information,followed by adaptive filtering to refine the estimation results.The maximum likelihood(ML)signal-to-noise ratio(SNR)estimation algorithm,combined with UW training sequences,enables real-time SNR estimation for the current data frame.Finally,frequency-domain chan-nel equalization is implemented using the minimum mean square error(MMSE)criterion based on the SNR estimation results.Simulation results demonstrate that the proposed algorithm achieves more convergent constellation diagrams with fewer inter-symbol interference points under quadrature phase-shift keying(QPSK)and 16 quadrature amplitude modulation(16QAM)at 5 dB SNR.Compared with traditional equalization methods,it exhibits approximately 1.8 dB performance gain at a bit error rate(BER)of 10-5.关键词
频域均衡/信道估计/训练序列/独特字Key words
frequency domain equalization/channel estimation/training sequence/unique word分类
信息技术与安全科学引用本文复制引用
李红光,张东伟,谷志刚,王海娇..基于UW帧结构的无人机地空数传信道均衡设计[J].信号处理,2025,41(12):1917-1925,9.基金项目
陕西省自然科学基础研究项目(2023-JC-QN-0770) Natural Science Basic Research Project of Shaanxi Province(2023-JC-QN-0770) （2023-JC-QN-0770）
